Digital design and manufacturing on the cloud: A review of software and services—RETRACTED

Abstract

This paper (Wu 2016), which was published in AI EDAM online on August 22, 2016, has been retracted by Cambridge University Press as it is very similar in content to a published ASME Conference Proceedings paper. The article in question and the ASME Conference Proceedings paper were submitted for review with AI EDAM and the ASME at similar times, but copyright was assigned to ASME before the paper was accepted in AI EDAM and therefore the article in AI EDAM is being retracted. (In recent years, industrial nations around the globe have invested heavily in new technologies, software, and services to advance digital design and manufacturing using cyber-physical systems, data analytics, and high-performance computing. Many of these initiatives, such as cloud-based design and manufacturing, fall under the umbrella of what has become known as Industry 4.0 or Industrial Internet and are often hailed as pillars of a new industrial revolution. While an increasing number of companies are developing or already offer commercial cloud-based software packages and services for digital design and manufacturing, little work has been reported on providing a review of the state of the art of these commercial software and services as well as identifying research gaps in this field. The objective of this paper is to present a state-of-the-art review of digital design and manufacturing software and services that are currently available on the cloud. The focus of this paper is on assessing to what extent engineering design, engineering analysis, manufacturing, and production across all phases of the product development lifecycles can already be performed based on the software and services accessed through the cloud. In addition, the key capabilities and benefits of these software packages and services are discussed. Based on the assessment of the core features of commercial software and services, it can be concluded that almost all phases of product realization can be conducted through digital design and manufacturing software and services on the cloud. Finally, existing research gaps and related challenges to overcome are identified. The state-of-the-art review serves to provide a technology guide for decision makers in their efforts to select suitable cloud-based software and services as alternatives to existing in-house resources as well as to recommend new research areas.)

Teaching Experiments for Engineering Education Based on Cloud Cad Software

“…That's why, Galimova (2020) presented a summary table of the advantages and disadvantages, on the basis of which the author developed a method facilitating the choice of the optimal approach to CAD testing. Also, Wu et al (2017) presented a technological guide for commercial customers to select the most appropriate application on the cloud or to use it during the whole product process development. This guide is generated from the state-of-the art that they realized on digital design and manufacturing software and services currently available on the cloud.…”

“…In fact, Fusion 360 is a cloud-based 3D CAD, CAM, and CAE platform for product development, according to Barrie (2016) can offers industrial and mechanical design applications in the form of surfacing and solid modelling, operate on multiple platforms such as PC's, Macs and mobile devices and keep up to date with model and project changes in the cloud Fusion 360. Wu et al (2017), mentioned that fusion 360 allows creating smooth and precise surfaces with T-Splines technology or with sketch curves, patches, and extrusions via a web browser. However, it does not facilitate global collaboration to unlike Onshape, which claims 'full-cloud' based CAD and collaboration.…”

A review on the characteristics of cyber-physical systems for the future smart factories

“…Thus, systems should be self-aware of current state of the production process [112]. Secondly, in order to be able to perceive the context, the sensing capability, which relies on the presence of sensors, is required; according to Wu, Terpenny, and Schaefer [113], multiple types of sensors should be adopted in intelligent CPS applications; these cross-domain sensing data are exchanged over heterogeneous network. Thirdly, sensed data should be exchanged and processed, remarking the relevance of the cognitive capability supporting to this end.…”

Manufacturing servitization in the digital economy: a configurational analysis from dynamic capabilities and lifecycle perspective

“…In recent decades, the world has witnessed a rapid growth of the digital economy and a changing landscape of competition initiated by new technologies. The digital economy, also known as the economy based on digital technologies, refers to the worldwide network of economic activities, commercial transactions, and professional interactions enabled by information and communications technologies (ICT) (Tapscott, 2014).The digital economy signals the advent of the fourth industrial revolution, which builds on the digital revolution as the development of ICT continues to link the physical and cyber worlds (Wu et al, 2016). The digital economy creates waves of destruction, making the business environment more turbulent and complicated (Wu et al, 2016).…”